![]() ![]() “A decade of evaluating europeana-constructs, contexts, methods & criteria.” In International Conference on Theory and Practice of Digital Libraries, pp. Unpublished doctoral research plan (2015) The Europeana-specific Europeana QA API:.Metadata Quality Assessment Framework API:.The first version of the web interface: Source code He collaborates with British Library, Belgian National Library, Gemeinsamer Bibliotheksverbund, a German library consortium, Europeana, Deutsche Digitale Bibliothek, meemoo (the Flemish Institute for Archives), Gent University Library, Victoria and Albert museum and other cultural heritage organisations. He is an editor of Code4Lib Journal, co-chair of LIBER Data Science in Libraries working group, member of different library and digital humanities related groups, maker and supporter of open source and open data projects. He is also interested in publishing and searching large text corpora in the web, and the new ways of web presence of cultural heritage (archival, library and museum materials with special focus on semantic web technologies). His main research interests are quality assessment of cultural heritage metadata and cultural analytics, the data analysis of these metadata as historical source. He received PhD (summa cum laude) from University of Göttingen, in 2019 as the output of this research. Péter Király, is a software developer and researcher at at GWDG, the data, compute and research centre for Max-Planck-Society and University of Göttingen. These pages are about the process of the research – my findings, results, codes, talks. Multiple extensions are being developed along with the core framework to work with specific metadata schemas, or data source. During the project a general framework is developed, which enables metadata repositories and digital libraries (such as Europeana, TextGrid or Digital Public Library of America) to run a range of measurements on the collection, and get suggestion where they should improve the quality of their metadata. This study also sheds some light on the nucleotide preferences in the target-motifs of GntRs thus providing important leads for initiating the experimental characterization of these proteins, construction of the gene regulatory network for these regulators and an understanding of the influence of these proteins on the physiology of the mycobacteria.The Metadata Quality Assessment Framework is a research project on figuring out how one can decide in an algorithmic way whether a metadata record in a cultural heritage database is “good” or “bad”. smegmatis that could serve as a model for studying orthologous regulators from virulent as well as other saprophytic mycobacteria. Conclusion This study helps in extending the annotation of M. Since the expression of many regulators is auto-regulatory, we have identified potential operator sites for a number of these GntR regulators by analyzing the upstream sequences. Using the reciprocal BLAST searches, we further identified the orthologs of these regulators in Bacillus subtilis and other mycobacteria. All these proteins showed similar secondary structural elements specific to their respective subfamilies except MSMEG_3959, which showed additional secondary structural elements. Further out of 45 FadR-like regulators, 19 were classified into the FadR group and 26 into the VanR group. smegmatis putative GntRs has revealed that FadR, HutC, MocR and the YtrA-like regulators are encoded by 45, 8, 8 and 1 genes respectively. Since the physiological role of these regulators is critically dependent upon effector binding and operator sites, we have analysed and classified these regulators into their specific subfamilies and identified their potential binding sites. A striking characteristic feature of this family of regulators is that they possess a conserved N-terminal DNA binding domain and a diverse C-terminal domain involved in the effector binding and/or oligomerization. smegmatis has been shown to possess several putative GntR regulators. ![]() Based on the homology of the N-terminal DNA binding domain, the recently sequenced genome of M. This organism has been widely used as a model organism to study the biology of other virulent and extremely slow growing species like Mycobacterium tuberculosis. Background Mycobacterium smegmatis is fast growing non-pathogenic mycobacteria. ![]()
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